ISSUES IN THE DEVELOPMENT OF AN ADAPTIVE LEARNING ENVIRONMENT FOR MASTERING TEAMWORK SKILLS OF AIR TRAFFIC CONTROLLERS

The subject matter of the article addresses the development of an adaptive learning environment for the formation and enhancement of air traffic controllers' teamwork skills within the context of contemporary aviation industry challenges.The goal of the article is to research and develop an approach for creating an adaptive learning system for practical training of air traffic controllers, taking into account both individual and group learning needs, which will improve the effectiveness of developing both technical and non-technical skills in air traffic controllers.The tasks of the article: to analyze existing approaches to air traffic controller training and their limitations in the context of teamwork skills development; to identify key cognitive functions necessary for effective teamwork in air traffic management; to develop a concept of a hybrid approach to adaptive learning for air traffic controllers.The methods used are: logical analysis, comparative analysis, and systems approach to studying complex learning environments.The article examines a comprehensive approach that combines personalized adaptive learning with adaptive group training for developing air traffic controllers' team interaction skills.A three-level training methodology has been proposed, encompassing individual preparation, pair training, and full-format group scenarios with gradual complexity increase according to learning progress.Key cognitive functions for implementation in the adaptive training complex have been identified, including team synergy, adaptability, goal-setting, information integration and formation of a holistic air situation picture, predictive modeling, metacognitive and emotional regulation functions.The article presents mechanisms for monitoring both individual and team interaction indicators, enabling the formation of temporary learning groups of air traffic controllers with complementary performance indicators.Attention is given to developing a system for adaptive regulation of complexity levels and focusing on specific aspects of team interaction.